State of charge estimation for a lead-acid battery using backpropagation neural network method

Abstract

An accurate battery State of Charge (SOC) method are essential for having optimum utilization of a battery. The SOC estimation in this research propose Back propagation Neural Network method, then the result compare with Open Circuit Voltage (OCV) prediction and coulometric counting method Experiment results show that the SOC estimation shows accurate measurements with maximum average percentage error no more than 0.893%.